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"The results are not specific to neural networks (similar techniques could be used to fool logistic regression)." Do you have any references or examples where
by Bill_Dimm 12y ago
"The results are not specific to neural networks (similar techniques could be used to fool logistic regression)."
Do you have any references or examples where such behavior has been demonstrated on non-NN algorithms (like logistic regression)?
- Bill_Dimm 12y agoOK, I found where Hinton claimed that[1], but it would be nice to have a better reference than a Reddit comment if anyone knows of one. [1] http://www.reddit.com/r/MachineLearning/comments/2lmo0l/ama_geoffrey_hinton/clyjbai http://www.reddit.com/r/MachineLearning/comments/2lmo0l/ama_...
- chestervonwinch 12y agoI can verify this is true. It is not extremely difficult to build a multinomial regression model and find "adversarial" images for this trained model. Of course, you're just taking me for my word on this, but you could very well try it yourself. You don't really need any special software outside the tools of SciPy and sklearn for instance if you use python.